Please read the abstract in the section, 00front of this document / Dissertation (MEng (Mechanical Engineering))--University of Pretoria, 2007. / Mechanical and Aeronautical Engineering / unrestricted

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第21355号 / 工博第4514号 / 新制||工||1703(附属図書館) / 京都大学大学院工学研究科社会基盤工学専攻 / (主査)教授 KIM Chul-Woo, 教授 杉浦 邦征, 講師 張 凱淳 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

To increase efficiency, shafts are made lighter and more flexible, and are designed to rotate faster to increase the system's power-to-weight ratio. The demand for higher efficiency in rotordynamic systems has led to increased susceptibility to transverse fatigue cracking of the shaft. Shaft cracks are often detected and repaired during scheduled periods of off-line maintenance. Off-line maintenance can be expensive and time consuming; on-line condition monitoring allows maintenance to be performed as-needed. However, inadequate (or a lack of) monitoring can allow rapidly propagating cracks to result in catastrophic shaft failure. It is therefore imperative to develop on-line condition monitoring techniques to detect a crack and diagnose its severity. A particularly useful method for transverse shaft crack detection/diagnosis is vibration monitoring. Detection, and especially diagnosis, of transverse fatigue cracks in rotordynamic systems has proven difficult. Whereas detection assesses only the presence of a crack, diagnosis estimates important crack parameters, such as crack depth and location. Diagnosis can provide the operator with quantitative information to assess further machinery operation. Furthermore, diagnosis provides initial conditions and predictive parameters on which to base prognostic calculations. There is a two-fold challenge for on-line diagnosis of transverse fatigue crack parameters. First, crack characterization involves specifying two important parameters: the crack's depth and location. Second, the nature of rotating machinery permits response measurement at only specific locations. Cracks are typically categorized as breathing or gaping; breathing cracks open and close with shaft rotation, while gaping cracks remain open. This work concerns the diagnosis of gaping crack parameters; the goal is to provide metrics to diagnose a crack's depth and location. To this end, a comprehensive approach is presented for modeling an overhung cracked shaft. Two linear gaping crack models are developed: a notch and a gaping fatigue crack. The notch model best approximates experimentally manufactured cracks, whereas the gaping fatigue crack model is likely more suited for real fatigue cracks. Crack diagnosis routines are established using free and forced response characteristics. Equations of motion are derived for both crack models, including excitation due to gravity and imbalance. Transfer matrix techniques are established to expediently obtain the steady-state system response. A novel transfer matrix technique, the Complex Transfer Matrix, is developed to distinguish forward and backward whirl components. The rotor's angular response is primarily employed in this work for crack detection and diagnosis. The overhung shaft induces an increased sensitivity to variations in crack depth and location. In addition, an available overhung rotordynamic experimental test rig allows for comparison of the current analytic results to previously obtained experimental results. Under the influence of gravity, the steady-state response of the cracked system includes a prominent 2X harmonic component, appearing at a frequency equal to twice the shaft speed. The magnitude of the 2X harmonic is strongly influenced by the shaft speed. A resonant response occurs when the shaft speed reaches half of a system natural frequency. This work demonstrates that the profile of the 2X harmonic versus shaft speed is a capable diagnostic tool. Identification of the 2X resonance frequency restricts the crack parameters to certain pairs of location and depth. Following this limiting process, the magnitude of the 2X harmonic is used to identify the crack's depth and location. Orbital shapes at the rotor are discussed, as are orbital modes of the shaft deflection. Quantitative results and qualitative observations are provided concerning the difficulty of crack detection and diagnosis.

Orientador: Mauro Hugo Mathias / Banca: Mauro Pedro Peres / Banca: Luis Fernando Almeida / Banca: Cesar da Costa / Banca: Cicero da Rocha Souto / Resumo: Os sinais de vibrações de máquinas rotativas conduzem a informações dinâmicas da máquina e esta análise é de grande importância no que diz respeito ao monitoramento de condição e diagnósticos de máquinas. Vários métodos de análises têm sido empregados no sentido de diagnosticar falhas em componentes de máquinas tais como engrenagens, rolamentos, dentre outros. Este trabalho apresenta uma análise sobre detecção de falhas em rolamentos de máquinas rotativas, e para esta apreciação utilizou-se os bancos de dados da CASE WESTERN RESERV UNIVERSITY e o banco de dados da FEG/UNESP. O objetivo principal deste trabalho foi a implementação de técnicas avançadas para identificar e caracterizar as falhas que são geradas em rolamentos, vislumbrando o aprimoramento da manutenção baseada na condição. Inicialmente, realizou-se a implementação e simulação no banco de dados da (CWRU), utilizando o software MATLAB e por meio da técnica de ressonância de alta frequência (HFRT), obteve-se resultados satisfatórios, entretanto esta metodologia é limitada uma vez que ela é empregada apenas para regime estacionário. A implementação da técnica HFRT não identificou em alguns casos a frequências para caracterização dos defeitos nas pistas dos rolamentos. Em seguida, utilizou-se a técnica Short Time Fourier Transform-STFT. A implementação proporcionou uma análise bem mais sensível aos impactos gerados nas pistas, pois, com a utilização da STFT, foi possível identificar as frequências características de d... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The vibration signals from rotating machines provide a set of dynamic information, which are very important for continuous condition monitoring of machinery. Several analytical methods have been employed in order to diagnose faults in machines components such as gears, bearings and others. This paper presents a fault detection analysis of rotating machinery bearings, using data from CASE WESTERN UNIVERSITY RESERVOIR and the FEG / UNESP database. The main objective of this work is the implementation of advanced techniques to identify and characterize bearing failures, with the purpose to improve maintenance under working conditions. At first, the implementation and simulation were done with data extracted from the database of (CWRU) using MATLAB software and high-frequency resonance technique (HFRT), which led to satisfactory results. However, this technique is limited since it is used only in a stationary regime. In some cases, the implementation of HFRT technique was not able to identify the defect frequencies of the bearing's races. Next the STFT Short-Time Fourier Transform technique was used. Its implementation provided a much more sensitive analysis of the impacts on the slopes; using STFT allowed to identify the characteristic defect frequencies. For comparison purposes, the wavelet technique combined with the envelope technique were used. This analysis was applied using Daubechies Wavelet of order 4 (DB4). In its implementation, a defective bearing signal was decompose... (Complete abstract click electronic access below) / Doutor

Wireless Sensor Networks (WSNs), in addition to enabling monitoring solutions for numerous new applications areas, have gained huge popularity as a cost-effective, dynamically scalable, easy to deploy and maintainable alternatives to conventional infrastructure-based monitoring solutions. A WSN consists of spatially distributed autonomous wireless sensor nodes that measure desired physical phenomena and operate in a collaborative manner to relay the acquired information wirelessly to a central location. A wireless sensor node, integrating the required resources to enable infrastructure-less distributed monitoring, is constrained by its size, cost and energy. In order to address these constraints, a typical wireless sensor node is designed based on low-power and low-cost modules that in turn provide limited communication and processing performances. Data and computation intensive wireless monitoring applications, on the other hand, not only demand higher communication bandwidth and computational performance but also require practically feasible operational lifetimes so as to reduce the maintenance cost associated with the replacement of batteries. In relation to the communication and processing requirements of such applications and the constraints associated with a typical wireless sensor node, this thesis explores energy efficient wireless sensor node architecture that enables realization of data and computation intensive applications. Architectures enabling raw data transmission and in-sensor processing with various technological alternatives are explored. The potential architectural alternatives are evaluated both analytically and quantitatively with regards to different design parameters, in particular, the performance and the energy consumption. For quantitative evaluation purposes, the experiments are conducted on vibration and image-based industrial condition monitoring applications that are not only data and computation intensive but also are of practical importance. Regarding the choice of an appropriate wireless technology in an architecture enabling raw data transmission, standard based communication technologies including infrared, mobile broadband, WiMax, LAN, Bluetooth, and ZigBee are investigated. With regards to in-sensor processing, different architectures comprising of sequential processors and FPGAs are realized to evaluate different design parameters, especially the performance and energy efficiency. Afterwards, the architectures enabling raw data transmission only and those involving in-sensor processing are evaluated so as to find an energy efficient solution. The results of this investigation show that in-sensor processing architecture, comprising of an FPGA for computation purposes, is more energy efficient when compared with other alternatives in relation to the data and computation intensive applications. Based on the results obtained and the experiences learned in the architectural evaluation study, an FPGA-based high-performance wireless sensor platform, the SENTIOF, is designed and developed. In addition to performance, the SETNIOF is designed to enable dynamic optimization of energy consumption. This includes enabling integrated modules to be completely switched-off and providing a fast configuration support to the FPGA.  In order to validate the results of the evaluation studies, and to assess the performance and energy consumption of real implementations, both the vibration and image-based industrial monitoring applications are realized using the SENTIOF. In terms of computational performance for both of these applications, the real-time processing goals are achieved. For example, in the case of vibration-based monitoring, real-time processing performance for tri-axes (horizontal, vertical and axial) vibration data are achieved for sampling rates of more than 100 kHz. With regards to energy consumption, based on the measured power consumption that also includes the power consumed during the FPGA’s configuration process, the operational lifetimes are estimated using a single cell battery (similar to an AA battery in terms of shape and size) with a typical capacity of 2600 mA. In the case of vibration-based condition monitoring, an operational lifetime of more than two years can be achieved for duty-cycle interval of 10 minutes or more. The achievable operational lifetime of image-based monitoring is more than 3 years for a duty-cycle interval of 5 minutes or more.

A very short and disagreeable audible and tactile response from a vehicle driveline may be excited when the throttle is abruptly applied or released, or when the clutch is rapidly engaged. The condition is most noticeable in low gear and in slow moving traffic, when other background engine and road noise levels are low. This phenomenon is known as clonk and is often associated with the first cycle of shuffle response, which is a low frequency longitudinal vehicle movement excited by throttle demand. It is often reported that clonk may coincide with each cycle of the shuffle response, and multiple clonks may then occur. The problem is aggravated by backlash and wear in the drivetrain, and it conveys a perception of low quality to the customer. Hitherto, reported investigations do not reveal or discuss the mechanism and causal factors of clonk in a quantitative manner, which would relate the engine impulsive torque to the elastic response of the driveline components, and in particular to the noise radiating surfaces. Crucially, neither have the issues of sensitivity, variability and non-linearity been addressed and published. It is also of fundamental importance that clonk is seen as a total system response to impulsive torque, in the presence of distributed lash at the vibro-elastic impact sites. In this thesis, the drivetrain is defined as the torque path from the engine flywheel to the road wheels. The drivetrain is a lightly damped and highly non-linear dynamic system. There are many impact and noise emitting locations in the driveline that contribute to clonk, when the system is subjected to shock torque loading. This thesis examines the clonk energy paths, from the initial impact to many driveline lash locations, and to the various noise radiating surfaces. Both experimental and theoretical methods are applied to this complex system. Structural and acoustic dynamics are considered, as well as the very important frequency couplings between elastic structures and acoustic volumes. Preliminary road tests had indicated that the clonk phenomenon was a, very short transient impact event between lubricated contacts and having a high frequency characteristic. This indicated that a multi-body dynamics simulation of the driveline, in conjunction with a high frequency elasto-acoustic coupling analysis, would be required. In addition, advanced methods of signal analysis would be required to handle the frequency content of the very short clonk time histories. These are the main novelties of this thesis. There were many successful outcomes from the investigation, including quantitative agreement between the numerical and experimental investigations. From the experimental work, it was established that vehicle clonk could be accurately reproduced on a driveline rig and also on a vehicle chassis dynamometer, under controlled test conditions. It then enabled Design of Experiments to be conducted and the principal causal factors to be identified. The experimental input and output data was also used to verify the mathematical simulation. The high frequency FE analysis of the structures and acoustic cavities were used to predict the dynamic modal response to a shock input. The excellent correlation between model and empirical data that was achieved, clearly established the clonk mechanism in mathematical physics terms. Localised impact of meshing gears under impulsive loads were found to be responsible for high frequency structural wave propagation, some of which coupled with the acoustics modes of cavities, when the speed of wave propagation reached supersonic levels. This finding, although previously surmised, has been shown in the thesis and constitutes a major contribution to knowledge.

Στην παρούσα διατριβή διερευνήθηκε για πρώτη φορά η δυνατότητα επέκτασης του ορίου εφαρμογής της γεωδαιτικής μεθόδου μέτρησης μετακινήσεων σε πλέον άκαμπτες (υψίσυχνες) κατασκευές με τη χρήση οργάνων GPS δειγματοληψίας 100Hz. Τα όργανα αυτά αποτελούν πρόκληση για διάφορους τομείς καθώς έχουν δυνατότητα δειγματοληψίας σχεδόν ίδιας τάξης μεγέθους με όργανα που χρησιμοποιούνται παραδοσιακά για την καταγραφή δυναμικών κινήσεων όπως επιταχυνσιογράφοι, σεισμόμετρα κτλ. Στην παρούσα διατριβή μελετήθηκαν τα χαρακτηριστικά του θορύβου των οργάνων GPS-100Hz μέσα από συστηματικά πειράματα “supervised learning”, όπου στατικοί δέκτες ή δέκτες κινούμενοι σε γνωστές οριζόντιες και κατακόρυφες τροχιές, επέτρεπαν να καταγραφεί και να αναλυθεί ο στατικός και δυναμικός θόρυβος διαφόρων τύπων. Η περαιτέρω μελέτη του θορύβου έδειξε ότι οι συσχετίσεις και το εύρος του επηρεάζονται σημαντικά από το εύρος συχνοτήτων του βρόχου PLL (Phase-Locked Loop bandwidth) του δέκτη GPS. Η χρήση βρόχου PLL με εύρος συχνοτήτων (bandwidth) 100Hz εξασφαλίζει ασυσχέτιστες μετρήσεις αλλά αυξάνει σημαντικά το εύρος του θορύβου (τυπική απόκλιση περίπου 3mm στους οριζόντιους άξονες και περίπου 6-7mm στον κατακόρυφο). Το φάσμα συχνοτήτων του θορύβου των χρονοσειρών συντεταγμένων GPS-100Hz χαρακτηρίζεται από μη τυχαίο (χρωματισμένο) θόρυβο στις χαμηλές συχνότητες (μέχρι περίπου 0.5Hz) και πρακτικά τυχαίο θόρυβο για τις υψηλές συχνότητες. Επιπλέον λόγω της δυνατότητας υψηλού ρυθμού δειγματοληψίας των οργάνων GPS-100Hz, έγινε δυνατό να διερευνηθεί για πρώτη φορά το φαινόμενο της δυναμικής πολυανάκλασης του δορυφορικού σήματος από κινούμενες ανακλαστικές επιφάνειες (dynamic multipath) και η επίδρασή του στις χρονοσειρές στιγμιαίων συντεταγμένων GPS. Με βάση τα συμπεράσματα της ανάλυσης των πειραματικών δεδομένων αναπτύχθηκε μεθοδολογία απομείωσης του θορύβου των χρονοσειρών στιγμιαίων μετατοπίσεων κατασκευών ενδιαφέροντος Πολιτικού Μηχανικού με βάση ψηφιακά φίλτρα ζώνης. Η μεθοδολογία αυτή επιτρέπει να εκτιμηθούν οριζόντιες και κατακόρυφες μετακινήσεις της τάξης των λίγων χιλιοστών. Η παραπάνω μεθοδολογία εφαρμόστηκε στις καταγραφές των ταλαντώσεων μίας ξύλινης πεζογέφυρας στην περιοχή της Πάτρας. Από αφιλτράριστες μετρήσεις GPS-100Hz εκτιμήθηκε εύρος εγκάρσιας ταλάντωσης της τάξης των 60-70mm και συχνότητα ταλάντωσης 0.92Hz. Στον κατακόρυφο άξονα εκτιμήθηκε συχνότητα ταλάντωσης 6.5Hz ενώ μετά την απομάκρυνση του θορύβου των μετρήσεων εκτιμήθηκε εύρος κατακόρυφης ταλάντωσης της τάξης των 3mm. Η πειραματική και αναλυτική διερεύνηση δείχνουν ότι η υψηλή δειγματοληψία που παρέχουν τα νέα όργανα GPS-100Hz προσφέρει δυνατότητα καλύτερης εκτίμησης των χαρακτηριστικών ταλάντωσης (συχνότητα/εύρος) σχετικά εύκαμπτων κατασκευών αλλά και επέκτασης των ορίων εφαρμογής του GPS σε μέτρηση δυναμικών μετακινήσεων δύσκαμπτων κατασκευών (ιδιοσυχνότητα μεγαλύτερη των 5Hz) με εύρος μέχρι λίγα χιλιοστά. / The possibility of the newly introduced GNSS receivers, with sampling rate up to 100Hz, for broadening the limits of application of GPS technology toward measuring the displacements of stiff (high-frequency) Civil Engineering Structures was studied in the present thesis. The new generation GPS receivers present a great challenge for various applications since they offer a sampling rate similar to the sampling rate of traditional instruments used in vibration measurement/monitoring like accelerometers and seismometers. The noise characteristics of the 100Hz GPS measurements were studied on the basis of systematic “supervised learning” experiments where instantaneous coordinate time-series from stationary receivers or receivers performing motions with known characteristics permitted to study static and dynamic noise of several types including noise due to dynamic multipath. The last phenomenon has been identified during the measurements of the response of bridges due to excitation by passing vehicles. The study of noise characteristics indicated that the correlations and noise amplitude is highly dependent on the PLL (Phase-Locked Loop) bandwidth used by the GPS receiver. The use of a 100Hz PLL bandwidth ensures uncorrelated instantaneous coordinates but at the cost of high amplitude noise (standard deviation approximately 3mm and 6-7mm along the horizontal and vertical axes respectively). The noise spectrum is characterized by a power-law with colored noise affecting low frequencies up to approximately 0.5Hz and white noise affecting higher frequencies. A methodology for the reduction of noise of the instantaneous coordinate time-series using band-pass filtering has been designed on the basis of the results of the experimental data. Application of the methodology permits the identification of millimeter level dynamic displacements similar to the ones developed during structural vibrations. The methodology was applied on the measurements of the oscillations of a timber bridge in Patras, Greece. Oscillation amplitudes around 60-70mm and a fundamental natural frequency of 0.92Hz were identified along the lateral axis of the bridge on the basis of unfiltered GPS coordinates. The first natural frequency along the vertical axis was estimated at 6.5Hz. After the de-noising of the GPS coordinates vertical oscillation amplitudes of around 3mm were successfully identified. The main result from the experimental and analytical investigation carried out in the present thesis is that the newly introduced GPS receivers with sampling rate up to 100Hz provide the opportunity of more detailed measurement of the oscillations and extraction of the dynamic characteristics of relatively flexible structures as well as the broadening of the limits of applications of GPS toward the measurement of dynamic displacements of stiff (natural frequencies >5Hz) structures.

Submitted by RODOLFO DE SOUSA SANTOS null (rodolfosousa4@gmail.com) on 2017-08-24T18:31:09Z No. of bitstreams: 1 TESE _RODOLFO_CORRIGIDA_19_08_2017_Final.pdf: 4285264 bytes, checksum: b5dac391b40121a31b55502fba5c1c43 (MD5) / Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-08-25T16:18:27Z (GMT) No. of bitstreams: 1 santos_rs_dr_guara.pdf: 4285264 bytes, checksum: b5dac391b40121a31b55502fba5c1c43 (MD5) / Made available in DSpace on 2017-08-25T16:18:27Z (GMT). No. of bitstreams: 1 santos_rs_dr_guara.pdf: 4285264 bytes, checksum: b5dac391b40121a31b55502fba5c1c43 (MD5) Previous issue date: 2017-07-21 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Os sinais de vibrações de máquinas rotativas conduzem a informações dinâmicas da máquina e esta análise é de grande importância no que diz respeito ao monitoramento de condição e diagnósticos de máquinas. Vários métodos de análises têm sido empregados no sentido de diagnosticar falhas em componentes de máquinas tais como engrenagens, rolamentos, dentre outros. Este trabalho apresenta uma análise sobre detecção de falhas em rolamentos de máquinas rotativas, e para esta apreciação utilizou-se os bancos de dados da CASE WESTERN RESERV UNIVERSITY e o banco de dados da FEG/UNESP. O objetivo principal deste trabalho foi a implementação de técnicas avançadas para identificar e caracterizar as falhas que são geradas em rolamentos, vislumbrando o aprimoramento da manutenção baseada na condição. Inicialmente, realizou-se a implementação e simulação no banco de dados da (CWRU), utilizando o software MATLAB e por meio da técnica de ressonância de alta frequência (HFRT), obteve-se resultados satisfatórios, entretanto esta metodologia é limitada uma vez que ela é empregada apenas para regime estacionário. A implementação da técnica HFRT não identificou em alguns casos a frequências para caracterização dos defeitos nas pistas dos rolamentos. Em seguida, utilizou-se a técnica Short Time Fourier Transform-STFT. A implementação proporcionou uma análise bem mais sensível aos impactos gerados nas pistas, pois, com a utilização da STFT, foi possível identificar as frequências características de defeitos. Para efeito de comparação optou-se por utilizar a técnica Wavelet combinada com a técnica do envelope. Esta análise foi aplicada usando a Wavelet Daubechies de ordem 4 (db4), em cuja implementação, realizou-se a decomposição do sinal de um rolamento com defeito e verificou-se qual destes apresentou o maior nível RMS e selecionou-se este sinal, pois o mesmo é o nível ideal para aplicação do método. Realizou-se a mesma apreciação ao banco de dados da FEG/UNESP. A análise realizada da técnica de Wavelet combinada com a técnica HFRT foi a que demonstrou melhor capacidade em relação às técnicas HFRT e STFT. Em seguida realizou-se a implementação da técnica de curtose espectral associada à técnica do envelope foi a que proporcionou os resultados mais precisos e satisfatórios, pois com a aplicação dessa metodologia foi possível a determinação de forma automática da região de ressonância e consequentemente uma melhora na caracterização das frequências de defeitos observadas nos rolamentos dos experimentos realizados em máquinas rotativas. / The vibration signals from rotating machines provide a set of dynamic information, which are very important for continuous condition monitoring of machinery. Several analytical methods have been employed in order to diagnose faults in machines components such as gears, bearings and others. This paper presents a fault detection analysis of rotating machinery bearings, using data from CASE WESTERN UNIVERSITY RESERVOIR and the FEG / UNESP database. The main objective of this work is the implementation of advanced techniques to identify and characterize bearing failures, with the purpose to improve maintenance under working conditions. At first, the implementation and simulation were done with data extracted from the database of (CWRU) using MATLAB software and high-frequency resonance technique (HFRT), which led to satisfactory results. However, this technique is limited since it is used only in a stationary regime. In some cases, the implementation of HFRT technique was not able to identify the defect frequencies of the bearing’s races. Next the STFT Short-Time Fourier Transform technique was used. Its implementation provided a much more sensitive analysis of the impacts on the slopes; using STFT allowed to identify the characteristic defect frequencies. For comparison purposes, the wavelet technique combined with the envelope technique were used. This analysis was applied using Daubechies Wavelet of order 4 (DB4). In its implementation, a defective bearing signal was decomposed into various parts. The signal part with the highest RMS level was selected, because it provides best conditions for applying the method. Analogously, data from the FEG / UNESP database were treated. The Wavelet analysis technique combined with HFRT technique demonstrated better capability with respect to the HFRT and STFT techniques. The implementation of the spectral kurtosis technique associated with the envelope technique provided the most accurate and satisfactory results, since with the application of this methodology it was possible to determine the resonance region automatically. Consequently, this is an improvement regarding the characterization of the defect frequencies of the bearings observed in experiments with rotating machinery.

No description available.

CAPES; CNPQ; FINEP; FA; SETI / Este trabalho tem como objetivo implementar, caracterizar, calibrar e testar um acelerômetro óptico biaxial para o monitoramento de vibrações em máquinas elétricas. São apresentados os métodos convencionais de sensoriamento e sistemas ópticos para a análise de vibrações. O acelerômetro proposto tem como elemento sensor as redes de Bragg em fibra óptica, onde a oscilação da massa inercial provoca a alteração do comprimento de onda de Bragg conforme o deslocamento da base do sensor. O acelerômetro óptico biaxial permite a medição da aceleração em duas direções ortogonais, onde a frequência natural para o eixo x é 747,5 Hz e para o eixo y é 757,5 Hz, podendo assim realizar medições com sensibilidade constante até aproximadamente um terço dessas frequências. A caracterização em resposta em frequência denominado massa dinâmica, foi obtido com os ensaios experimentais utilizando o martelo de impacto e o atuador eletromecânico. Este último ensaio permitiu que o acelerômetro fosse exposto a uma excitação harmônica de 10 Hz a 750 Hz. A comparação da resposta obtida com o acelerômetro piezoelétrico utilizado como referência e o sistema óptico possibilitou obter a curva de sensibilidade em pm por g ao longo da frequência de análise. A análise em frequência está em consonância com a NBR 60034-14 a qual especifica os limites de vibração para máquinas elétricas girantes quando desacopladas de qualquer carga ou acionamento. Os ensaios realizados para validar a resposta do acelerômetro óptico biaxial para o monitoramento das frequências de vibrações em máquinas elétricas, foram desenvolvidos em três momentos. Primeiro foi analisado um grupo-gerador de 500 kVA no Hospital Pequeno Príncipe em Curitiba. Segundo foi utilizado um motor de indução conectado a um inversor de frequência e por último foi analisado um motor de indução operando com o rotor com a barra quebrada, onde foi acoplado um gerador síncrono para prover a carga ao motor. / The means focus of this study is to implement, characterize, calibrate and test of a biaxial optical fiber accelerometer for vibration monitoring in electrical machines. The conventional methods of the sensing as well as the optical systems for analysis of the vibrations are presents. The accelerometer proposed uses fiber Bragg gratings to measure the displacement of the na inertial mass, where cause the change of Bragg wavelength relatively to a displacement of the support base. The biaxial optical accelerometer allows the measurement of the acceleration in two ortogonal directions, where the natural frequency for the x-axis is 747,5 Hz and for y-axis is 757,5 Hz, being able to perform measurements with constant sensitivity up to one third of these frequencies. The characterization in frequency response called dynamic mass was obtained with the experimental tests using the impact hammer and electromechanical actuator. The last test allowed the accelerometer was exposed to a harmonic excitation of the 10 Hz to 750 Hz. The comparison of the response between the optical system and the piezoelectric accelerometer used as reference allowed to get the sensibility in pm by g regarding the analysis of the frequency. The analysis frequency is in line with the NBR 60034-14 wich specifies the limits of the vibration for rotating electrical machines when uncoupled from any load or drive. The tests perfomed to validate the response of the biaxial optical accelerometer for a monitoring of the vibration frequencies in electrical machines were developed in three moments. First it was tested a group-generator, 500 kVA at the Hospital Pequeno Príncipe in Curitiba. Second was used an induction motor connected to a frequency inverter and finally was analyzed na operating induction motor with broken rotor bar where was also used a synchronous generator to provide the load for motor.